code: def test_get_match_score(self):
      bboxes = random_boxes(self.num_objs, 64)
      labels = torch.arange(self.num_objs)
      scores = torch.arange(self.num_objs, dtype=torch.float32)
      similarity_logits = torch.randn(self.num_objs, self.num_objs + 1)
  
      match_score = self.tracker.get_match_score(
          bboxes, labels, scores, bboxes, labels, similarity_logits
      )
      assert match_score.size() == similarity_logits.size()
  
file_path: mmdetection/tests/test_models/test_trackers/test_masktrack_rcnn_tracker.py
imports: from unittest import TestCase
  import torch
  from mmengine.registry import init_default_scope
  from parameterized import parameterized
  from mmdet.registry import MODELS
  from mmdet.testing import demo_track_inputs, get_detector_cfg, random_boxes
label_desc: Use image node_id 2 for calling the TestMaskTrackRCNNTracker obj's underlying member method code with example usage: obj.test_get_match_score() without return types